Our synergy in our introductory group discussions brought us to a shared interest in movies and their back-end processes and facts. Thus, we decided to explore datasets regarding Movies. Jody enjoys comedies. Lynette and Jeffrey revel in action movies, especially MCU’s Avengers. All in the while, Zhi appreciates romance. There is more than beneath the eye of paying for a movie stub at the theater as there are many components before and after movie releases. Some pre-release factors consisting of budgeting, timeline, and production planning enhance the quality and enjoyability of the movie. While, a few post-factors incorporate ratings, price, marketing, and theater distribution network - all of which aim to drive long-term profitability and to attract a global audience. We are motivated to analyze movie trends, statistics, and logistics such as calculating maximum and minimum revenues, obtaining names of most and least profitable movies or genres, computing the number of tickets sold per movie, and grouping movies based on ranges of budgets. The source of the dataset for our project can be found here.
Within the movies_metadata file, there were significant information that were interesting. The longest runtime of a movie was 1256 minutes. That movie was Centennial. The movie Inception, is significant because it has the highest vote count compared to any other movie. The tagline of Inception is “Your mind is the scene of the crime.” Also, the movie with the highest revenue is Avatar.
The purpose of this lollipop chart is to display the top 10 most voted movies. Each movie is ordered from least to most(left to right). The thin line and circle top provides more emphasis on the values of each movie, while giving it a nice and modern look.
This chart intends to show the relationship between the maximum budget amounts for movie production from each year. Budget amounts have increased over time as a result of many factors, one being currency inflation and technology equipments and enhancements like CGI used in films.
This chart has shown the top 10 most common single and mixed genre for all kinds of movies that have been released before. The chart is to relfect the variance of different types genres with the change of number of movies. I made it into an order start from the least common genres to the most common genres in the top 10 popular genres because I want readers to quickly see the order of the most popular 10 types of genres in an order.
## Selecting by orderWhat’s obvious at a glance is that Drama is the most common genre type. Comedy is the second popular genre type and Documentary is the third common genre type in all movies.
There is an obvious gap between the top three popular genre type compared to the rest seven types. The rest seven types lie between 1000 to 2000. However, the top three lie above 4000.
This chart aims to answer the question whether run time of movies has correlations with the amount of revenues gained upon release of the movies. Question at Hand: Is there a correlation between run time and revenue?
There is low to medium correlation between run time and revenue
Vast majority movies are not that profitable regardless of run time without taking into account currency inflation and time period. Some movies are seen to be following the correlation in terms of longer movies being more profitable in revenues and medium length movies generating fair amounts of revenue.